Oyeleye Olalekan
@oyeleyeolalekan
Multidisciplinary Data Scientist with expertise in AI and analytics.
What I'm looking for
I am a multidisciplinary Data Scientist and Analyst with over four years of experience in leveraging Python, SQL, and machine learning to drive strategic decisions across both public and private sectors. I hold a Distinction in MSc Artificial Intelligence and Data Science from the University of Hull, where I developed a strong foundation in Generative AI and Large Language Models (LLMs). My expertise includes building retrieval-augmented generation (RAG) systems and conversational AI tools, which have proven invaluable in enhancing data accessibility and decision-making processes.
Throughout my career, I have successfully integrated complex technical solutions with actionable business outcomes. At TLT Networks, I automated data retrieval processes and developed predictive models that improved strategic planning. My previous roles, including my time at the Delegation of the European Union to Nigeria, involved applying data science techniques to analyze trade data and inform policy decisions, showcasing my ability to deliver data-driven insights in high-stakes environments.
Experience
Work history, roles, and key accomplishments
Data Scientist
TLT Networks
Mar 2024 - Present (1 year 3 months)
Integrated Retrieval-Augmented Generation (RAG) systems using LangChain and OpenAI's GPT-4o-mini, automating data retrieval from large datasets and enhancing information access. Developed and deployed a LangChain-powered agent to automate complex data queries, enabling non-technical stakeholders to interact with structured data more intuitively. Streamlined reporting processes by automating workfl
Rail Data Administrator
The Logistics Institute, University of Hull
Mar 2023 - Jun 2023 (3 months)
Processed and validated rail freight data using bespoke in-house software to support the commercial launch of the NR+ platform. Digitized industry-specific datasets critical to rail freight planning, supporting decarbonization and network efficiency efforts. Collaborated with a cross-functional team to ensure high-quality, accurate data for use in freight route optimization tools.
Trade Analyst – Applied Data Science & Automation
Delegation of European Union to Nigeria and ECOWAS
Mar 2020 - Mar 2023 (3 years)
Applied data science techniques including data wrangling, feature engineering, and hypothesis testing to analyze regional trade data, informing EU-Africa trade policies and compliance with WTO/AfCFTA frameworks. Built and deployed Python automation pipelines to extract, process, and distribute economic indicators and trade alerts, reducing reporting time by 70%. Designed and maintained structured
Data & Research Analyst
High Commission of Sri Lanka
Dec 2016 - Mar 2020 (3 years 3 months)
Conducted economic and trade research to support diplomatic strategy, using data science methods to analyze bilateral market trends and investment opportunities. Prepared policy reports and briefings for diplomatic staff, using data visualization techniques to clearly communicate trade trends and economic insights. Maintained and managed internal datasets related to trade, visa processing, and con
Education
Degrees, certifications, and relevant coursework
Obafemi Awolowo University
MSc Economics, Economics
Pursued a Master of Science in Economics, deepening understanding of economic theories and quantitative analysis. Developed advanced analytical skills applicable to economic research and policy formulation.
Ekiti State University
BSc Economics, Economics
Completed a Bachelor of Science in Economics, building a foundational knowledge in microeconomics, macroeconomics, and econometrics. Engaged in coursework that developed strong analytical and problem-solving abilities.
University of Hull
MSc Artificial Intelligence and Data Science, Artificial Intelligence and Data Science
Grade: Distinction
Completed a Master of Science with Distinction, focusing on Artificial Intelligence and Data Science. Gained expertise in Generative AI, Large Language Models (LLMs), and building retrieval-augmented generation (RAG) systems. Applied deep learning models for platelet cell classification as part of the dissertation.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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